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DeepSeek R1 Zero vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 47.5% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Average performance across 31 common benchmarks
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DeepSeek R1 Zero
Average Score:9.9%
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Qwen2.5 VL 32B Instruct
Average Score:57.4%(+47.5%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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DeepSeek R1 Zero
Avg Score:9.9%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%(+47.5%)
Providers:0